CN1231102A - Device and method for controlling image encoding, encoding system, transmission system and broadcast system - Google Patents

Device and method for controlling image encoding, encoding system, transmission system and broadcast system Download PDF

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CN1231102A
CN1231102A CN98800903A CN98800903A CN1231102A CN 1231102 A CN1231102 A CN 1231102A CN 98800903 A CN98800903 A CN 98800903A CN 98800903 A CN98800903 A CN 98800903A CN 1231102 A CN1231102 A CN 1231102A
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bit rate
target bit
program data
data
program
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三原宽司
北村卓也
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Sony Corp
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    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/236Assembling of a multiplex stream, e.g. transport stream, by combining a video stream with other content or additional data, e.g. inserting a URL [Uniform Resource Locator] into a video stream, multiplexing software data into a video stream; Remultiplexing of multiplex streams; Insertion of stuffing bits into the multiplex stream, e.g. to obtain a constant bit-rate; Assembling of a packetised elementary stream
    • H04N21/2365Multiplexing of several video streams
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    • H04N19/172Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a picture, frame or field
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    • H04N21/2365Multiplexing of several video streams
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Abstract

The present invention employs a statistical multiplexing method to enable suitable assignment of a target code rate to each program data. A controller (3) acquires encoding difficulty (Di) of each program from each of image encoders (2i). In accordance with an equation for transforming the encoding difficulty (Di) and the conversion formula of the bit rate, the controller (3) calculates a temporary bit rate (Tmp_Ratei). Moreover, the controller (3) causes the sum of the target bit rates (Target_Ratei) to satisfy a predetermined allowable value by correcting the temporary bit rate (Tmp_Ratei) so as to determine a final target bit rate (Target_Ratei) and inputing the final target bit rate to each of the image encoders (2i).

Description

Image encoding control device and method, coded system, transmission system and broadcast system
Technical field
The present invention relates to view data is carried out image encoding control device and method, coded system, transmission system and the broadcast system of compressed encoding.
Background technology
Recently, the digital broadcasting that view data etc. is carried out transceiver as numerical data is noticeable.The advantage of digital broadcasting is, compares with analog broadcasting, can transmit more program data (hereinafter referred to as program) on same transmission line.This mainly is to transmit because view data can be compressed.The compression method of view data has for example MPEG (Moving Picture Experts Group, Motion Picture Experts Group) the bi-directional predictive coding mode that standard adopted.In this bi-directional predictive coding mode, carry out this coding of three types of intraframe coding, interframe forward prediction coding and bi-directional predictive coding, the image of each type of coding is called I picture (intra coded picture, intra-coded picture), P picture (predictivecoded picture, prediction encoded picture) and B picture (Bidirectionally predictive codedpicture, bi-directional predictive coding picture).
In the image compression encoding of digital broadcasting, the data volume behind the compressed encoding (bit quantity) need be suppressed at below the transmission capacity of transmission line, and keep high-quality image quality.
For the transmission line of regulation transmission capacity, playing more, the method for Polymera has so-called " statistic multiplexing " method.Statistic multiplexing is by the transmission rate of each program of dynamic change, transmits the more method of Polymera.In this statistic multiplexing,, make it possible to transmit more program even for example reduce the also transmission rate of unconspicuous program of transmission rate, image quality aggravation by reducing those.
Here, with reference to Figure 12 and Figure 13, further specify statistic multiplexing.Figure 12 represents traditional to carry out when multiplexing example to the code check of each program distribution according to fixed rate, and the longitudinal axis is represented the code check to each program distribution, the transverse axis express time.As shown in figure 12, the distribution code check of these each programs that is re-used of for example weather forecast, news and drama keeps the code check as the initial value distribution, and change in time.The code check that each program is distributed as initial value make each program image quality aggravation significantly the image quality aggravation of part (time) within permissible range.Therefore, to the part beyond the tangible part of image quality aggravation, also distributed unnecessary code check.
Figure 13 represent to use statistic multiplexing method, dynamic change to the code check of each program distribution carry out when multiplexing, to an example of the code check of each program distribution, the longitudinal axis is represented the code check to each program distribution, the transverse axis express time.Very little these characteristics of possibility that statistic multiplexing has utilized the tangible part of each program image quality aggravation (time) to occur simultaneously.Thereby when certain program was the tangible part of image quality aggravation, even other programs reduce code check, image quality aggravation was often also also not obvious, therefore can reduce the code check of other programs, to the more code check of the tangible program distribution of image quality aggravation.In example shown in Figure 13, at moment P, drama (1) is image quality aggravations when significantly part, news and drama (2) are the unconspicuous part of image quality aggravation, reduces the code check of news and drama (2), and drama (1) is distributed corresponding more code check.Like this, by using statistic multiplexing, can the usually more program of transfer ratio.
Yet, in this statistic multiplexing, decision to the code check of each program distribution, be that the bit-rate allocation method of the amount of bit rate is the key factor of decision image quality etc.Traditional representative method in the bit-rate allocation method has, and monitors the quantization step that each program uses, and the FEEDBACK CONTROL quantization step makes that the quantization step of all programs is identical, perhaps averages out according to the weighting to each program settings in advance.In this FEEDBACK CONTROL, after the end-of-encode of certain image, the quantization step during according to this image encoding decides next bit rate, therefore, when changing to complicated patterns rapidly because of scene variation etc., just has little time response, obviously produces image fault.
On the other hand, problem for the operating lag that solves the control system that adopts this FEEDBACK CONTROL, the applicant proposes following feedback, promptly, for wanting image encoded, obtain the coding difficulty (Difficulty) of the difficulty of presentation code earlier,, determine the bit rate of each program according to this coding difficulty.The basic implementation method of this feedback is, according to the ratio of the coding difficulty data of each program of obtaining before encoding process, the gross bit rate after multiplexing distributed to each program.According to the ratio of coding difficulty data, each program is carried out the distribution of bit rate, be as shown in the formula shown in (1), pro-rata decides.
R i=(D i/∑D k)×Total_Rate…(1)
In formula (1), R iThe bit rate of representing i program, D iRepresent the coding difficulty of the unit interval of this program, Total Rate represents gross bit rate, and ∑ is represented K=1~L (L is total number of programs) is sued for peace.
Perhaps, each program being carried out the distribution of bit rate, is to each program additional weight coefficient W i, shown in (2), decide.
R i={W i×D i/∑(W k×D k)}×Total_Rate…(2)
But there is following problems in above-mentioned method according to coding difficulty pro-rata bit rate.
(1) may not the most suitable human vision property according to the pro-rata of coding difficulty.For example, the coding difficulty of simple pattern is low, so bit rate suppresses very lowly, but human vision property has a kind of tendency, finds the distortion of simple pattern easily, and is difficult to aware the distortion of complex pattern.Therefore, all programs are used a formula, coding difficulty according to each program, merely pro rata distribute gross bit rate, then to the program distribution of pattern complexity unnecessary bit quantity, and the simple program of pattern that bit quantity reduces is then obvious because of the distortion that coding produces, and spectators are felt bad.
(2) common, the digital broadcasting radio station using statistic multiplexing provides enterprise to each program, charges according to the bit rate that occupies.At this moment, the digital broadcasting radio station often provides the budget of enterprise according to each program, obtain the distribution of mean bit rate in advance.But when using statistic multiplexing, the bit rate dynamic change can not be obtained mean bit rate in advance, therefore can not carry out correct charge according to budget.
Summary of the invention
Therefore, the purpose of this invention is to provide a kind of image encoding control device and method, coded system, transmission system and broadcast system, use the method for statistic multiplexing, can distribute suitable target bit rate each program data.
Image encoding control device of the present invention, be used to comprise a plurality of addressable parts, in the system of reusable component of software, each addressable part is set the target bit rate that the sign indicating number amount takes place as the target of unit interval, and control each addressable part, these a plurality of addressable parts are encoded to a plurality of program datas that comprise view data respectively, this reusable component of software carries out multiplexing to the dateout of each addressable part, this image encoding control device comprises: tentative target bit rate decision parts, each program data is obtained the coding difficulty of the difficulty of presentation code, use determines the tentative target bit rate of each program data corresponding with the coding difficulty of each program data of obtaining to the coding difficulty of each program data setting and the corresponding relation between the target bit rate; Correcting part, correction is by the tentative target bit rate decision tentative target bit rate that parts determined, determine the target bit rate of each final program data, make the summation of target bit rate of each program data be limited in the feasible value of regulation, and each addressable part is set this final objective code check.
In this image encoding control device, tentative target bit rate decision parts are obtained the coding difficulty of the difficulty of presentation code to each program data, use determines the tentative target bit rate of each program data corresponding with the coding difficulty of each program data of obtaining to the coding difficulty of each program data setting and the corresponding relation between the target bit rate.Should revise by the target bit rate correcting part by tentative target bit rate, and determine the target bit rate of each final program data, make the summation of target bit rate of each program data be limited in the feasible value of regulation, and each addressable part is set this final objective code check.
Image encoding control method of the present invention, be used to comprise a plurality of addressable parts, in the system of reusable component of software, each addressable part is set the target bit rate that the sign indicating number amount takes place as the target of unit interval, and control each addressable part, these a plurality of addressable parts are encoded to a plurality of program datas that comprise view data respectively, this reusable component of software carries out multiplexing to the dateout of each addressable part, this image encoding control method comprises: tentative target bit rate deciding step, each program data is obtained the coding difficulty of the difficulty of presentation code, use determines the tentative target bit rate of each program data corresponding with the coding difficulty of each program data of obtaining to the coding difficulty of each program data setting and the corresponding relation between the target bit rate; Revise step, the tentative target bit rate that correction is determined by tentative target bit rate deciding step, determine the target bit rate of each final program data, make the summation of target bit rate of each program data be limited in the feasible value of regulation, and each addressable part is set this target bit rate.
In this image encoding control method, tentative target bit rate deciding step obtains the coding difficulty to each program data, use determines the tentative target bit rate of each program data corresponding with the coding difficulty of each program data to the coding difficulty of each program data setting and the corresponding relation between the target bit rate.In addition, the tentative target bit rate of each program data of target bit rate correction step correction, and decision final objective code check make the summation of target bit rate of each program data be limited in the feasible value of regulation.
Coded system of the present invention, the a plurality of program datas that comprise view data are respectively encoded, carry out multiplexing to coded data, this coded system comprises: a plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in each program data, presentation code; A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in each program data is encoded; Reusable component of software carries out multiplexing to each addressable part data encoded; Control assembly, the coding difficulty that is detected by each coding difficulty detection part is calculated the target bit rate of each program data, and the target bit rate that calculates is supplied with each addressable part.
Control assembly for example according to each program data independently is set, calculate the used calculating formula of target bit rate by the difficulty of encoding, calculate target bit rate.
Control assembly for example calculates the used calculating formula of target bit rate according to independently setting by the coding difficulty to the mean value decision of the predetermined target bit rate of each program data, to each program data, calculates target bit rate according to this calculating formula.
Control assembly is for example to each program data, the coding difficulty that is detected by each coding difficulty detection part is calculated the transient target code check of each program data, calculate the target bit rate of each program by the transient target code check, make the summation of transient target code check that each program data is calculated be limited in the permissible range of regulation.
Control assembly is for example to each program data, irrelevant with the coding difficulty of other program datas, the coding difficulty that is detected by each coding difficulty detection part is calculated the transient target code check of each program data, calculate the target bit rate of each program by the transient target code check, make the summation of transient target code check that each program data is calculated be limited in the permissible range of regulation.
Control assembly is for example independently set by the coding difficulty each program data and is calculated the used calculating formula of transient target code check, this calculating formula is not subjected to the influence of the coding difficulty of other program datas, according to this calculating formula, the coding difficulty that is detected by each coding difficulty detection part is calculated the transient target code check of each program data, calculate the target bit rate of each program by the transient target code check, make the summation of transient target code check that each program data is calculated be limited in the permissible range of regulation.
Transmission system of the present invention, the a plurality of program datas that comprise view data are respectively encoded, carry out multiplexing to coded data, and as the transmission data export, this transmission system comprises: a plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in each program data, presentation code; A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in each program data is encoded; Reusable component of software, each addressable part data encoded is carried out multiplexing, and as the transmission data export; Control assembly, according to each program data is independently set, by the coding difficulty calculate the used calculating formula of target bit rate, the coding difficulty that is detected by each coding difficulty detection part is calculated the target bit rate of each program data, and the target bit rate that calculates is supplied with each addressable part.The feature of control assembly is identical with the situation of coded system.
Broadcast system of the present invention, the a plurality of program datas that comprise view data are respectively encoded, carry out multiplexing to coded data, and send as broadcast data, this broadcast system comprises: a plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in each program data, presentation code; A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in each program data is encoded; Reusable component of software carries out multiplexingly to each addressable part data encoded, and export as broadcast data; Control assembly, according to each program data is independently set, by the coding difficulty calculate the used calculating formula of target bit rate, the coding difficulty that is detected by each coding difficulty detection part is calculated the target bit rate of each program data, and the target bit rate that calculates is supplied with each addressable part.The feature of control assembly is identical with the situation of coded system.
Other purposes of the present invention, feature and advantage will become apparent by following explanation.
Brief description of drawings
Fig. 1 is the schematic configuration block diagram of statistic multiplexing system that comprises the image encoding control device of one embodiment of the invention.
Fig. 2 is the schematic configuration block diagram of picture coding device shown in Figure 1.
Fig. 3 is the block diagram of the hardware configuration of Fig. 1 middle controller.
Fig. 4 is the key diagram that concerns between the coding difficulty of unit interval in one embodiment of the invention and the allocation bit rate.
Fig. 5 is the key diagram of another relation between the coding difficulty of unit interval in one embodiment of the invention and the allocation bit rate.
Fig. 6 is when upgrading the estimated value of average coding difficulty in one embodiment of the invention, the key diagram of the relationship change of the coding difficulty of unit interval and allocation bit rate.
Fig. 7 is to the flow chart of the operation of each program distribution target bit rate in one embodiment of the invention.
Fig. 8 is the flow chart of the subsequent operation of Fig. 7.
Fig. 9 is the flow chart of the subsequent operation of Fig. 8.
Figure 10 is the flow chart of the operation of variation in one embodiment of the invention.
Figure 11 is to the key diagram of an example of the operation of each program distribution target bit rate in the variation of one embodiment of the invention.
Figure 12 traditional carries out when multiplexing key diagram to each program distribution code check according to fixed rate.
Figure 13 is that traditional dynamic change code check carries out when multiplexing key diagram to each program distribution code check.
The best way that carries out an invention
Below, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Fig. 1 is the block diagram of the structure example of statistic multiplexing system, and this statistic multiplexing system comprises: controller, i.e. the image encoding control device of one embodiment of the invention; Picture coding device, i.e. a plurality of addressable parts that a plurality of program datas are encoded; And multiplexer, promptly the dateout of each addressable part is carried out multiplexing reusable component of software.This statistic multiplexing system 1 is corresponding to coded system of the present invention, transmission system, and broadcast system.Statistic multiplexing system 1 comprises respectively: a plurality of picture coding devices 2 of the present invention i, import program data, be program S i(i is the integer value more than 1), and it is carried out compressed encoding; Controller 3, i.e. the image encoding control device of present embodiment is to each picture coding device 2 iCarry out the Bit-Rate Control Algorithm of feed-forward type; Multiplexer 4 is to each picture coding device 2 iShu Chu compress coding data St respectively iCarry out multiplexing, with view data S mOutput to transmission line.Statistic multiplexing system 1 is when using as transmission system, with the view data S of multiplexer 4 outputs mOutput to transmission line as the transmission data.Statistic multiplexing system 1 is when using as broadcast system, with the view data S of multiplexer 4 outputs mSend to the receiving system end as broadcast data by broadcasting transmission line.
Fig. 3 is the block diagram of the hardware configuration of Fig. 1 middle controller 3.Controller 3 comprises: CPU (CPU) 51; ROM (read-only memory) 52; RAM (random access memory) 53 is as the working region; And the bus 70 that connects them.Controller 3 also comprises respectively: CRT (cathode ray tube) 60 is connected to bus 70 by interface (being designated as I/F in Fig. 3) 54~59; Hard disk drive 61; CD (compact-disc)-ROM driver 62; Floppy disk 63; Keyboard 64; And mouse 65.
In this controller 3, CPU51 as the working region, carries out the Bit-Rate Control Algorithm program of storing in the hard disk in ROM52 for example or the hard disk drive 61 with RAM53, thereby realizes each function of aftermentioned.The Bit-Rate Control Algorithm program also can be recorded on the floppy disk that CD-ROM that CD-ROM drive 62 driven or floppy disk 63 driven, be installed to hard disk in the hard disk drive 61 from them on.
Fig. 2 is a picture coding device 2 among Fig. 1 iThe detailed structure block diagram.As shown in the drawing, picture coding device 2 iComprise: encoder control part 11, input program S i, carry out the preliminary treatment of compressed encoding etc.; FIFO (first-in first-out) memory 12 is with the dateout delay scheduled time and the output of this encoder control part 11; Encoder 13 is imported the dateout of this FIFO memory 12, to each picture according to carrying out compressed encoding with picture type respective coding method, output compressing image data St iMotion detection circuit 14 according to the dateout detection motion vector of encoder control part 11, is delivered to encoder 13; Coding control part 15 is according to the statistic data Sa of encoder control part 11 outputs iME residual error data Sz with motion detection circuit 14 outputs iCome controlled encoder 13.So-called ME residual error briefly, is meant whole image is asked the absolute value sum of motion prediction error or the result of involution sum gained, ME residual error data Sz iBe the data of asking the ME residual error used, will describe in detail in the back.
Encoder control part 11 comprises: image ranking circuit 21, input program S i, sort according to the order of the order of encoding to picture (I picture, P picture, B picture); The scan conversion macro block circuit 22 of holding concurrently is imported the dateout of this image ranking circuit 21, and differentiation is frame structure or field structure, carries out scan conversion and 16 * 16 macro blockization rapidly according to differentiating the result; Statistic counting circuit 23 is imported this scan conversion dateout of macro block circuit 22 of holding concurrently, and calculates (Intra) AC, activity (Activity) and flatness statistics such as (Flatness) in the frame in the I picture, with statistic data Sa iDeliver to coding control part 15, the dateout of the macro block circuit 22 of simultaneously scan conversion being held concurrently is delivered to FIFO memory 12 and motion detection circuit 14.AC, activity and flatness will describe in detail in the back in the frame.
Encoder 13 comprises: subtraction circuit 31, get the dateout of FIFO memory 12 and the difference between the predicted image data; DCT (discrete cosine transform) circuit 32 is that unit carries out DCT to the dateout of this subtraction circuit 31 with the DCT piece, output DCT coefficient; Sample circuit 33 quantizes the dateout of this DCT circuit 32; Variable Length Code circuit 34 carries out Variable Length Code to the dateout of this sample circuit 33; Delay middle memory 35, temporarily keep the dateout of this Variable Length Code circuit 34, as the compress coding data St that constitutes by bit stream iOutput; Inverse quantization circuit 36 carries out re-quantization to the dateout of sample circuit 33; Inverse DCT circuit 37 carries out inverse DCT to the dateout of this inverse quantization circuit 36; Add circuit 38 is with the dateout and the predicted image data adduction output mutually of this inverse DCT circuit 37; Movement compensating circuit 39 keeps the dateout of this add circuit 38, and the motion vector of sending here according to motion detection circuit 14 carries out motion compensation, and predicted image data is outputed to subtraction circuit 31 and add circuit 38.
Motion detection circuit 14 is according to the dateout of encoder control part 11, seek macro block so that reach minimum, detect motion vector and also deliver to movement compensating circuit 39 as the absolute value sum of gazing at pixel value difference between the macro block of gazing at macro block and reference picture or the involution sum of the picture of compressed encoding object.Motion detection circuit 14 will reach the absolute value sum of the pixel value difference between minimum macro block or involution sum as ME residual error data Sz when asking motion vector iDeliver to coding control part 15.
Coding control part 15 comprises: ME residual computations portion 41, the ME residual error data Sz of calculating autokinesis in the future testing circuit 14 iTo the value of whole image summation gained, be the ME residual error; Coding difficulty calculating part 42, the ME residual sum that calculates according to this ME residual computations portion 41 is from the statistic data Sa of statistic counting circuit 23 i, calculate the coding difficulty D that represents the picture coding difficulty i, deliver to controller 3.
Coding control part 15 also comprises: quantification index determination section 45 with quantized character value corresponding quantitative index, makes it equal the coding difficulty D that calculates according to coding difficulty calculating part 42 in the decision sample circuit 33 iThe target bit rate Target_Rate of decision in controller 3 i, deliver to sample circuit 33.
Coding difficulty (Difficulty) is described here.The coding difficulty is represented the difficulty of picture coding, in other words, when it is coding in order to keep the ratio of the required data volume of identical image quality.The method that the coding difficulty is quantized has a variety of.The parameter that the calculation code difficulty is used as previously mentioned, has AC, activity, flatness etc. in ME residual error, the frame.AC in the so-called frame is defined as in the I picture, the summation of the absolute value of difference between the mean value of the pixel value of each pixel in DCT (discrete cosine transform) piece of 8 * 8 pixels and the pixel value in the DCT piece, can be described as the complexity of representing pattern.So-called activity is the complexity of presentation video pattern, for example calculates according to the distribution of the pixel value of the luminance signal of original image, at TM5 (Test Model Editing Committee (test model editorial board): " Test Model5 "; ISO/IEC JTC/SC292/WG11/N0400 (Apr.1993)) etc. the quantized value that is used for computing macro block in.So-called flatness is defined as presentation video flatness spatially, and the complexity of presentation video has correlation with the difficulty of picture pattern and the data volume after the compression.As previously mentioned, AC and activity are represented the complexity of pattern in the frame, the movement velocity of ME residual error presentation video and the complexity of pattern, flatness presentation video flatness spatially, these all have very strong correlation with the difficulty of encoding, therefore by with them as the linear function of variable etc., can the calculation code difficulty.
Here, be expressed from the next as AC in the frame of an example of statistic.
Intra_AC=∑|f curr(x,y)-(∑F curr)/N)|
In the formula, Intra_AC represents AC in the frame, F Curr(x, the y) pixel value of each pixel in the expression DCT piece, ∑ f CurrThe summation of pixel value in the expression DCT piece, N represents the pixel count in the DCT piece.∑ is represented each pixel in the DCT piece is asked its summation.
The applicant proposes a kind of method that can be more correctly quantize to the coding difficulty, it at every moment by for example learn to upgrade with stipulate among the TM5, the parameter of picture complexity in the same type picture of coding before the expression, be that global complexity (Global Complexity) and the statistic (AC ME residual error, activity, flatness and frame in) that obtained (hereinafter referred to as reading earlier) before encoding process are transformed to the used transform of difficulty of encoding.In the method, for example, during picture of every compression, global complexity divided by the statistic of reading earlier, is calculated the weight coefficient that is used for approach coding difficulty data, upgrade the weight coefficient that is used for calculation process.By the renewal of this weight coefficient, always the weight coefficient of the best can be used for the pattern of view data, can enough statistics of reading earlier come the approach coding difficulty with very high precision.
Can obtain under the situation of high-precision coding difficulty according to the statistic of reading earlier (AC, activity etc. in the frame) by this method, can use this coding difficulty to decide the target bit rate Target_Rate of each program in the statistic multiplexing.
Below, illustrate according to the method for coding difficulty each program distribution target bit rate.Below, for simply, suppose that the coding difficulty data length of reading earlier is that 1GOP (Group Of Picture, picture group) describes.Here, the number of pages of supposing the 1GOP picture is the N page or leaf.That is, when the picture j of i program of coding, obtain coding difficulty data D about this N page or leaf picture from picture j to picture j+N-l I, j~D I, j+N-1For simply, each picture coding device can be that unit changes target bit rate with every frame.Each picture coding device can only be that the target bit rate distribution method that unit changes under the situation of target bit rate will describe in the variation of present embodiment with GOP.
Below, the operation of controller 3 decisions to the target bit rate of each program distribution roughly is described.3 pairs of each programs of controller are given a transform respectively, as the corresponding relation formula between coding difficulty and the target bit rate, be used for the coding difficulty is transformed to target bit rate, use this transform, calculate each program requirement tentative target bit rate, be interim bit rate.Thereby, use the interim bit rate of each program total, and the regulation for example whole capacity of trunk of feasible value between ratio, calculate actual target bit rate to each program distribution, at this moment, according to the coding difficulty data that obtained, at any time the coding difficulty of upgrading each program is transformed to the used transform of target bit rate, so that make the mean value of the interim bit rate of this program approach mean value to the predefined target bit rate of this program.For coding difficulty data, always the coding difficulty data reduction with up-to-date N page or leaf is the coding difficulty of unit interval, thereby under the unjustified situation of phase place of the GOP of each program, also can distribute target bit rate according to up-to-date state.
Below, describe 3 steps that controller 3 carries out in order to determine the target bit rate of each program distribution and to each picture in detail.Following explanation double as is the explanation of the image encoding control method of present embodiment.In the 1st step, controller 3 is obtained the coding difficulty of unit interval according to the data of up-to-date N page or leaf to each program.Here, controller 3 is at first obtained the total ∑ D of the coding difficulty data of the up-to-date N page or leaf that coding difficulty calculating part 42 obtained to all programs IkThen, at program S iIn the time of will encoding to picture j, the mean value of the coding difficulty of up-to-date N page or leaf be multiply by sampling rate Picture_Rate, thereby obtain the coding difficulty DA that was scaled for 1 second according to following formula (3) iWherein, ∑ is represented K=j~j+N-1 is asked its summation.
DA i=(∑D ik×Picture_Rate)/N…(3)
Here, obtain the coding difficulty DA that is scaled the unit interval (1 second) iReason be, the often required asynchronism(-nization) of 1GOP in the program that carries out 2-3 drop-down (プ Le ダ ウ Application) etc., perhaps the GOP length difference of each program only according to being the total of the coding difficulty of unit with GOP, can not determine target bit rate.
Then, in the 2nd step, 3 pairs of each programs of controller use the coding difficulty with the unit interval to be transformed to the used transform of target bit rate, determine the interim bit rate of each program requirement.Here, controller 3 uses the coding difficulty DA that is scaled the unit interval (1 second) i, decide the interim bit rate Tmp_Rate of each program.Controller 3 is also the difficulty DA that will encode iBe transformed to the used transform of interim bit rate Tmp_Rate and be updated to up-to-date transform.
Here, in order also to use it for DVD (Digital Video Disk, digital video disk) during two times used (pass) of etc. making (authoring) encodes, the relation of coding difficulty and bit rate is as described below, that is, ratio between two is not certain proportionate relationship, but allocation bit rate, make them more than the ratio relation in the little place of coding difficulty, littler than the ratio relation in the place that the coding difficulty is big, this can improve people's subjective image quality evaluation result.Therefore, in the present embodiment, the setting difficulty of will encoding is transformed to the used transform of target bit rate, make that the big more then target bit rate of coding difficulty is big more, and, the coding difficulty than the big prescribed limit of its mean value in, compare with the situation of the proportional relation of target bit rate with the coding difficulty, the target bit rate corresponding with identical coding difficulty diminishes, and the coding difficulty than the little prescribed limit of its mean value in, compare with the situation of the proportional relation of target bit rate with the coding difficulty, the target bit rate corresponding with identical coding difficulty becomes big.
Fig. 4 represents according to above-mentioned thought, is scaled the coding difficulty DA of unit interval iAn and example that concerns between the bit rate that distributes.In the figure, the longitudinal axis is represented the bit rate that distributes, and transverse axis represents to be scaled the coding difficulty DA of unit interval iAs shown in Figure 4, in the present embodiment, the setting difficulty DA that will encode iBe transformed to target bit rate (being interim bit rate in this example) Tmp_Rate iUsed transform, feasible coding difficulty DA iBig more then target bit rate Tmp_Rate iBig more, and, at coding difficulty DA iIn the big prescribed limit of its mean value Avg_Difficulty, the coding difficulty DA shown in the symbol 90 iWith target bit rate Tmp_Rate iThe situation of proportional relation is compared, with identical coding difficulty DA iCorresponding target bit rate Tmp_Rate iDiminish, and at coding difficulty DA iIn the little prescribed limit of its mean value Avg_Difficulty, with coding difficulty DA iWith target bit rate Tmp_Rate iThe situation of proportional relation is compared, with same-code difficulty DA iCorresponding target bit rate Tmp_Rate iBecome big.Among the figure, Max_Rate, Min_Rate and Avg_Rate are respectively Maximum Bit Rate, minimal bit rate, mean bit rate.Total to the mean bit rate of each program settings can not surpass circuit (transmission line) capacity Total_Rate.Among the figure, Avg_Difficulty is the estimated value of average coding difficulty of the input picture material of coding.Why being called estimated value, is that the coding difficulty of input picture material is indeterminate, can only estimate from the coding result in past because in the broadcasted application that ad infinitum continues to encode.The update method of this Avg_Difficulty is with aftermentioned.
Like this, when given Max_Rate, Min_Rate, Avg_Rate and Avg_Difficulty, coding difficulty DA i, with to the interim bit rate Tmp_Rate of i program distribution iBetween relation as described below, that is, in example shown in Figure 4, it is at coding difficulty DA iBe 0 o'clock Tmp_Rate iFor Min_Rate at coding difficulty DA iTmp_Rate during for Avg_Difficulty iBe the such straight line of Avg_Rate, and, bit rate constraints is being no more than Max_Rate.That is, determine the interim bit rate Tmp_Rate of program i according to following formula (4) i
Tmp_Rate i=mtn{Min_Rate+(Avg_Rate-Min_Rate)/
Avg_Difficulty×DA i,Max_Rate}…(4)
Wherein, min{x, y} represent to get medium and small one of x and y.
Like this, controller 3 decisions are to the interim bit rate Tmp_Rate of all program distribution.Relation between coding difficulty and the bit rate is not the linear relation shown in the A among Fig. 5, but can be shown in the B among Fig. 5, the relational expression that is slowed down by for example trend of exponential function formula defines, make that the big more then bit rate of coding difficulty is big more, and, the coding difficulty than the big prescribed limit of its mean value in, along with the coding difficulty becomes big, bit rate variation diminishes with respect to the trend of coding difficulty variation.
Then, in step 3, the interim bit rate sum of all programs of controller 3 decision, and use ratio between itself and the whole capacity of trunk to decide the target bit rate of each program.At this moment, the target bit rate of each program is handled, made it be no more than Maximum Bit Rate separately, the restriction of minimal bit rate.Here, controller 3 is at first obtained the interim bit rate Tmp_Rate that all programs are obtained according to following formula (5) 1~Tmp_Rate LSummation Sum_Tmp_Rate.Wherein, ∑ is represented k=1~L is asked its summation.
Sum_Tmp_Rate=∑Tmp_Rate k…(5)
Then, controller 3 compares the summation Sum_Tmp_Rate and the capacity of trunk Total_Rate of the interim bit rate of obtaining according to formula (5), check this summation Sum_Tmp_Rate whether to surpass or be far smaller than capacity of trunk Total_Rate, determine actual target bit rate Target_Rate according to its result.
Surpass under the situation of capacity of trunk Total_Rate at the summation Sum_Tmp_Rate of interim bit rate, because the total of the bit rate that each program requires surpasses capacity of trunk, so the final goal bit rate Target_Rate of each program must be less than interim bit rate Tmp_Rate.Therefore, controller 3 decides the target bit rate Target_Rate of each program basically according to following formula (6) i
Target_Rate i=Tmp_Rate i×(Total_Rate/Sum_Tmp_Rate)
=nun{Min_Rate+(Avg_Rate-Min_Rate)/Avg_Difficulty×DA i,
Max_Rate}×(Total_Rate/Sum_Tmp_Rate)…(6)
Yet, under the situation of the target bit rate that reduces like this each program, might occur less than program to the minimal bit rate Min_Rate of each program settings.Therefore, there is target bit rate Target_Rate iLess than minimal bit rate Min_Rate iSituation under, with the target bit rate Target_Rate of this program iValue as minimal bit rate Min_Rate i, from capacity of trunk Total_Rate, deduct as minimal bit rate Min_Rate iThe bit rate of program, give each program with remaining bit-rate allocation.At this moment, not the target bit rate Target_Rate of the program i of minimal bit rate Min_Rate iRepresent by following formula (7).Wherein, ∑ Min_Rate kBe the summation of asking as the program of minimal bit rate with target bit rate, ∑ Tmp_Rate kExpression is as the summation of the interim bit rate of the program of minimal bit rate.
Target_Rate i=Tmp_Rate i×(Total_Rate-∑Min_Rate k)
/(Sum_Tmp_Rate-∑Tmp_Rate k)…(7)
After controller 3 is according to formula (7) allocation bit rate, exist under the situation less than the program of minimal bit rate Min_Rate again, with the value of the bit rate of this program as minimal bit rate, to remaining program, according to formula (7) decision target bit rate.
On the other hand, surpass under the situation of capacity of trunk Total_Rate at the summation Sum_Tmp_Rate of interim bit rate, the total of the bit rate that each program requires equates with capacity of trunk or less than capacity of trunk.Therefore, owing to do not surpass capacity of trunk, may not need to revise.Yet, realize better image quality in order to effectively utilize capacity of trunk, the target bit rate that might make each program is greater than interim bit rate.Therefore, in the present embodiment, controller 3 decides the target bit rate Target_Rate of each program basically according to formula (6) iIn the case, can the value of obtaining than interim bit rate Tmp_Rate iBig target bit rate Target_Rate iYet, under the situation of the target bit rate that improves each program like this, the program to the Maximum Bit Rate Max_Rate of each program settings might appear surpassing.Therefore, at the target bit rate Target_Rate that exists according to formula (6) decision iGreater than Maximum Bit Rate Max_Rate iThe situation of program under, with the value of the bit rate of this program as Maximum Bit Rate Max_Rate i, from capacity of trunk Total_Rate, deduct as Maximum Bit Rate Max_Rate iThe bit rate of program i, give each program with remaining bit-rate allocation.At this moment, not the target bit rate Target_Rate of the program i of Maximum Bit Rate Max_Rate iRepresent by following formula (8).Wherein, ∑ Max_Rate kBe the summation of asking as the program of Maximum Bit Rate with target bit rate, ∑ Tmp_Rate kExpression is as the summation of the interim bit rate of the program of Maximum Bit Rate.
Target_Rate i=Tmp_Rate i×(Total_Rate-∑Max_Rate k)
/(Sum_Tmp_Rate-∑Tmp_Rate k)…(8)
After controller 3 is according to formula (8) allocation bit rate, exist to surpass under the situation of program of Maximum Bit Rate Max_Rate again, with the value of the bit rate of this program as Maximum Bit Rate Max_Rate i, to remaining program, according to formula (8) decision target bit rate.
In the present embodiment, as previously mentioned, the coding difficulty of each program is transformed to the used transform of target bit rate (6) upgrades at any time, make the mean value of interim bit rate of this program approach the predefined mean bit rate of this program according to the coding difficulty that has obtained.Therefore, controller 3 uses the coding difficulty that generates to upgrade average coding difficulty.Here, the used parameter of relational expression of the decision bit rate corresponding with the coding difficulty of each program is: as Max_Rate, the Min_Rate of initial value setting, Avg_Rate with as the Avg_Difficulty of variable.For example as film, under the situation of the mean value of the coding difficulty of the image of knowing certain time range, can use this value, yet, the mean value of the difficulty of not knowing usually to encode.Therefore, for example with each GOP interval once, use the coding difficulty DA that was scaled for 1 second i, upgrade the average coding difficulty Avg_Difficulty of the input picture material of coding.The method of asking of Avg_Difficulty has many kinds, for example to former Avg_Difficulty weighting, gets itself and up-to-date coding difficulty DA iAverage.In the case, the difficulty Avg_Difficulty that on average encodes is obtained by following formula (9).
Avg_Difficulty={(w-1)×Avg_Difficulty′+DA i}/w…(9)
Wherein, Avg_Difficulty ' is last computation result's an average coding difficulty, and w is a weight coefficient, is fully big integer value (for example 256).The size of weight coefficient w is corresponding to the time constant of the mean value change of coding difficulty, the value of weight coefficient w is big more, the change of mean value is more little, yet owing to the mean value that approaches actual coding difficulty need be taken time, so preferably according to the size that should be used for setting weight coefficient w.
The value that the initial value of Avg_Difficulty uses statistics to obtain.For example, according to the kind (film, video recording, physical culture, news etc.) of encoding condition of input picture (resolution, have or not drop-down etc.) and input picture material, set the value of the imaginary average coding difficulty of input material.For example under the situation of picture material, can improve compression efficiency by 2-3 is drop-down with frame DCT, thereby the mean value of coding difficulty generally is far smaller than the video recording material, therefore, the initial value of Avg_Difficulty is set at little value.
Like this, obtain Avg_Difficulty after, the formula of the interim bit rate of update calculation (4).An example of the variation of the coding difficulty when Fig. 6 represents to upgrade Avg_Difficulty and the corresponding relation of bit rate.Among the figure, C represents the corresponding relation based on the average coding difficulty E (Avg_Difficulty ') before upgrading, and D represents the corresponding relation based on the average coding difficulty F after upgrading.As shown in Figure 6, after the renewal coding difficulty, the transform of being obtained interim bit rate by the coding difficulty is also carried out some changes, the result is modified to it can encode in the scope of whole object code amount.For example, in example shown in Figure 6, therefore up-to-date coding difficulty, is upgraded it considerably beyond mean value Avg_Difficulty, makes Avg_Difficulty become big, and consequently the trend of transform slows down.
Below, the operation of statistic multiplexing system 1 shown in Figure 1 is described.In this statistic multiplexing system 1, program S iRespectively by picture coding device 2 iEncode.Each picture coding device 2 iRespectively with each program S iThe coding difficulty D of coding difficulty of the image encoded of indicating iOutput to controller 3.Controller 3 uses the method for statistic multiplexing, according to the coding difficulty D of input i, determine respectively as each program S iThe target of unit interval the sign indicating number amount takes place, be the target bit rate Target_Rate of target bit rate i, to each picture coding device 2 iSet.Picture coding device 2 iAccording to the target bit rate Target_Rate that sets i, to program S iCarry out compressed encoding respectively, with compress coding data St iOutput to multiplexer 4.Each compress coding data St of 4 pairs of inputs of multiplexer iCarry out multiplexingly, and generate output image data Sm, output to transmission line.
Below, picture coding device shown in Figure 22 is described iOperation.At first, program S iBe imported into picture coding device 2 iEncoder control part 11.In encoder control part 11, at first, image ranking circuit 21 sorts according to the order of the order of encoding to picture (I picture, P picture, B picture), then, it is frame structure or field structure that scan conversion holds concurrently that macro block circuit 22 differentiates, and carries out scan conversion and macro blockization according to differentiating the result, then, under the situation of I picture, statistic counting circuit 23 calculates interframe AC, with statistic data Sa iDeliver to the coding difficulty calculating part 42 of coding control part 15.Scan conversion is held concurrently the dateout of macro block circuit 22 through statistic counting circuit 23, delivers to FIFO memory 12 and motion detection circuit 14.
The view data of 12 pairs of inputs of FIFO memory postpones, and outputs to encoder 13, the required time of coding difficulty of the N page or leaf picture after the picture that the time of this delay equals in coding difficulty calculating part 42, calculation code finishes.Motion detection circuit 14 detects motion vector and delivers to movement compensating circuit 39, simultaneously with ME residual error data Sz iDeliver to the ME residual computations portion 41 of coding control part 15.
Under the situation of I picture, in encoder 13, in subtraction circuit 31, do not get the difference between itself and the predicted image data, the dateout of FIF0 memory 12 is directly inputted to DCT circuit 32 carries out DCT, 33 pairs of DCT coefficients of sample circuit quantize, the dateout of 34 pairs of sample circuits 33 of Variable Length Code circuit is carried out Variable Length Code, and the buffer storage 34 interim dateouts that keep Variable Length Code circuit 34 are as the compress coding data St that is made of bit rate iOutput.The dateout of 36 pairs of sample circuits 33 of inverse quantization circuit is carried out re-quantization, the dateout of 37 pairs of inverse quantization circuits 36 of inverse DCT circuit is carried out inverse DCT, the output image data of inverse DCT circuit 37 is input to movement compensating circuit 39 by add circuit 38 keeps.
Under the situation of P picture, in encoder 13, movement compensating circuit 39 is according to the view data corresponding with the I picture past or P picture that keep with from the motion vector of motion detection circuit 14, generate predicted image data, predicted image data is outputed to subtraction circuit 31 and add circuit 38.Add circuit 31 is got the dateout of FIFO memory 12 and from the difference between the predicted image data of movement compensating circuit 39, DCT circuit 32 carries out DCT, 33 pairs of DCT coefficients of sample circuit quantize, the dateout of 34 pairs of sample circuits 33 of Variable Length Code circuit is carried out Variable Length Code, the buffer storage 35 interim dateouts that keep Variable Length Code circuit 34, and as compress coding data St iExport.The dateout of 36 pairs of sample circuits 33 of inverse quantization circuit is carried out re-quantization, the dateout of 37 pairs of inverse quantization circuits 36 of inverse DCT circuit is carried out inverse DCT, add circuit 38 is input to the dateout and the predicted image data addition of inverse DCT circuit 37 movement compensating circuit 39 and keeps.
Under the situation of B picture, in encoder 13, movement compensating circuit 39 is according to corresponding with past and following I picture or P picture 2 view data that keep with from 2 motion vectors of motion detection circuit 14, generate predicted image data, predicted image data is outputed to subtraction circuit 31 and add circuit 38.Subtraction circuit 31 is got the dateout of FIFO memory 12 and from the difference between the predicted image data of movement compensating circuit 39, DCT circuit 32 carries out DCT, 33 pairs of DCT coefficients of sample circuit quantize, the dateout of 34 pairs of sample circuits 33 of Variable Length Code circuit is carried out Variable Length Code, the buffer storage 35 interim dateouts that keep Variable Length Code circuit 34, and as compress coding data St iExport.Wherein, the B picture does not remain in the movement compensating circuit 39.
Below, with reference to the flow chart of Fig. 7 to Fig. 9, the operation of the coding control part 15 and the controller 3 of picture coding device 2 is described.In this operation, at first, controller 3 carries out the setting (step S101) of whole capacity of trunk Total_Rate.Then, 3 couples of whole program settings Maximum Bit Rate Max_Rate of controller, minimal bit rate Min_Rate, mean bit rate Avg_Rate, resolution, encoding condition (step S102) such as drop-down.According to this encoding condition, on average the encode initial value (step S103) of difficulty Avg_Difficulty of 3 pairs of whole program settings of controller.Then, begin the processing of every frame.That is, at first, 42 pairs of whole programs of coding difficulty calculating part of coding control part 15 according to the ME residual error etc., are obtained, the coding difficulty D of stored picture j+N-l i(step S104).Then, 3 pairs of whole programs of controller, the coding difficulty of the up-to-date N page or leaf of obtaining according to coding difficulty calculating part 42 according to formula (3), is obtained the coding difficulty DA that is scaled the unit interval (1 second) i(step S105).Then, controller 3 uses this coding difficulty DA i,, determine the interim bit rate Tmp_Rate (step S106) of each program according to formula (4).Then, controller 3 is obtained the interim bit rate Tmp_Rate that all programs are obtained according to formula (5) 1~Tmp_Rate LSummation Sum_Tmp_Rate (step S107).
Then, controller 3 judges whether the summation Sum_Tmp_Rate of interim bit rate surpasses capacity of trunk Total_Rate (step S108).Summation Sum_Tmp_Rate at interim bit rate surpasses (step S108 under the situation of capacity of trunk Total_Rate; Y), revise interim bit rate Tmp_Rate, determine the target bit rate Target_Rate of each program.Specifically, at first,, each program is calculated target bit rate Target_Rate (step S109) according to formula (6).Then, judge whether to exist program (step S110) less than minimal bit rate Min_Rate.(step S110 under existing less than the situation of the program of minimal bit rate Min_Rate; Y), the value with the bit rate of this program is set at minimal bit rate Min_Rate (step S111).Then, controller 3 returns step S109, obtains the bit rate Target_Rate of the program that is not minimal bit rate Min_Rate according to formula (7) i, and it is distributed to these programs (step S109).And under not existing less than the situation of the program of minimal bit rate Mim_Rate (step S110; N), 3 pairs of all images code devices 2 of controller iQuantification index determination section 45 target setting bit rate Target_Rate i(step S115).
On the other hand, the summation Sum_Tmp_Rate at interim bit rate does not surpass (step S108 under the situation of capacity of trunk Total_Rate; N), also revise interim bit rate Tmp_Rate, determine the target bit rate Target_Rate of each program.Specifically, at first,, calculate the target bit rate Target_Rate (step S112) of each program according to formula (6).Then, judge whether to exist program (step S113) above Maximum Bit Rate Max_Rate.(step S113 under the situation that has the program that surpasses Maximum Bit Rate Max_Rate; Y), the value with the bit rate of this program is set at Maximum Bit Rate Max_Rate (step S114).Then, controller 3 returns step S112, obtains the target bit rate Target_Rate of the program that is not Maximum Bit Rate Max_Rate according to formula (8) j, and it is distributed to these programs (step S112).And under not existing above the situation of the program of Maximum Bit Rate Max_Rate (step S113; N), 3 pairs of all images code devices 2 of controller iQuantification index determination section 45 target setting bit rate Target_Rate i(step S115).
Then, the quantized character value corresponding quantitative index in 45 decisions of quantification index determination section and the sample circuit 33 makes it become the target bit rate Target_Rate that controller 3 is set i, and deliver to sample circuit 33.Corresponding therewith, carry out the coding (step S116) of picture j.Wherein, picture j represents the picture that will encode.
After the end-of-encode of picture j, in order to carry out the processing of next picture, as new j (step S117), only be the program of the last frame of GOP to picture j with j+1, use the coding difficulty that generates, upgrade average coding difficulty Avg_Difficulty (step S118) according to formula (9).
Then, judge whether the coding of picture j finishes (step S119), (step S119 under the situation of coding that continues; N), return step S104, and under the situation of end-of-encode (step S119; Y), finish Fig. 7 to operation shown in Figure 9.
As mentioned above, according to present embodiment, according to the coding difficulty of each program settings and the corresponding relation between the target bit rate, each program is calculated and the corresponding interim bit rate of coding difficulty, obtain target bit rate according to the total of interim bit rate and the ratio between the whole capacity of trunk, surpass under the situation of restriction of the maximum of each program or minimal bit rate at it, limit this target bit rate by maximum or minimal bit rate, from the total of interim bit rate, deduct by minimum or bit rate that Maximum Bit Rate limited, give each program with remaining bit-rate allocation, therefore, can realize the pattern of suitable people's subjective feeling, simultaneously, can work required in the distribute digital broadcasting station, with mean bit rate, the target bit rate of the setting correspondence of maximum or minimal bit rate.
In the present embodiment, upgrade the estimated value of average coding difficulty by each GOP, also change according to the coding difficulty and obtain the used transform of target bit rate, therefore, the best target bit rate that can continue all the time distributes.
In addition, in the present embodiment, as calculating the data that target bit rate uses, all the time be that coding difficulty data reduction with up-to-date N page or leaf is that the coding difficulty of unit interval is obtained target bit rate, so, even the phase place of the GOP of each program is unjustified, also can carry out the distribution of optimum target bit rate according to up-to-date state.
Below, with reference to Fig. 7, Fig. 8 and Figure 10, the variation of the present embodiment under the following situation is described, that is, and the picture coding device of use use regulations such as TM5 with the rate controlled of GOP as unit, the change of target bit rate is the situation that unit limits with GOP.Wherein, attached to component part same as the previously described embodiments with identical symbol, and omit its explanation.Breakout shown in Figure 8 operation (Fig. 7, Fig. 8) before 2. is same as the previously described embodiments.
In the change of target bit rate is under the unit situation about limiting with GOP, if the phase place of the GOP in all programs is alignd, can change target bit rate simultaneously, yet, in fact carry out the drop-down program of 2-3 etc. owing to being mixed with, so the phase place of GOP has deviation.In this case, in order to be no more than capacity of trunk, need manage the program that reduces target bit rate preferential.
In this variation, be unit with the frame, decision is no more than target bit rate (the step S110 of minimum or Maximum Bit Rate to whole programs; N, step S113; N) step before is same as the previously described embodiments.In this variation, at decision target bit rate Targe_Rate iAfter, because in L program, exist in program and inalterable program that the transfer point place target bit rate of GOP can change, so at first obtain the capacity Available_Rate (step S120) of the bit rate that the program that can change target bit rate can distribute according to following formula (10).Wherein, ∑ Target_Rate kBe illustrated in the summation of target bit rate of the inalterable program of transfer point place target bit rate of GOP.
Available_Rate=Total_Rate-∑Target_Rate k…(10)
Then, to the program that target bit rate can change, judge whether the summation of target bit rate Target_Rate surpasses Available_Rate (step S121).Summation at target bit rate Target_Rate does not surpass (step S121 under the situation of Available_Rate; N), can not surpass capacity of trunk, so the picture coding device 2 of the program that can change target bit rate because this target bit rate Target_Rate directly set also iThe quantification index determination section 45 of coding control part 15 set this target bit rate Target_Rate (step S122).At this moment, capacity of trunk is unnecessary, can use it for the bit rate of the program that improves the pattern complexity.
On the other hand, the summation at target bit rate Target_Rate surpasses (step S121 under the situation of Available_Rate; Y), will surpass capacity of trunk,, make it be no more than Available_Rate, determine new target bit rate Target_Rate so the program that can change for bit rate reduces target bit rate Target_Rate according to following formula (11) as not adding change i' (step S123).Wherein, ∑ Target_Rate kThe summation of the target bit rate Target_Rate of the program that the expression target bit rate can change.
Target_Rate i′=Target_Rate i×(Available_Rate/∑Target_Rate k)…(11)
Then, judge whether to exist the target bit rate Target_Rate of new decision i' less than the program (step S124) of minimal bit rate Min_Rate.(step S124 under existing less than the situation of the program of minimal bit rate Min_Rate; Y), the value of the bit rate of this program as minimal bit rate Min_Rate (step S125), being returned step S123, is not the bit rate (step S123) of the program of minimal bit rate Min_Rate to these program distribution according to formula (11).And under the situation that does not have the program that is lower than minimal bit rate Min_Rate (step S124; N), the picture coding device 2 of 3 pairs of target bit rates of controller program that can change iThe quantification index determination section 45 of coding control part 15 set this target bit rate Target_Rate (step S122).Target bit rate Target_Rate iStep S126 after the ' setting is identical to step S119 with step S116 among Fig. 8 to step S129.
According to this variation, only can be unit change target bit rate with GOP, even under its phase place situation devious, also be to can change the program of target bit rate at the transfer point place of GOP, carry out the distribution of the target bit rate corresponding with the setting of the up-to-date coding difficulty of each program and maximum or minimal bit rate, make its capacity that is no more than the program that can change,, can increase substantially the subjective image quality of reflection human vision property so can not surpass capacity of trunk all the time.
Figure 11 is to the key diagram of an example of the operation of each program distribution target bit rate in this variation.In the figure, the longitudinal axis represents to distribute to the target bit rate of each program, the transverse axis express time.Gross bit rate is made as 10Mbps (megabits per second, MBPS).
In example shown in Figure 11,, distribute target bit rate according to above-mentioned variation for 3 program A~C.Among the figure, #1, #2 ... the sequence number of expression GOP.Target bit rate Target_Rate in the digital representation 11 in the figure bracket i, the target bit rate Target_Rate among the numeral Figure 11 in bracket left side i'.The unit of bit rate is Mbps.Among the figure, t1 represents the zero hour of the GOP#1 of the GOP#1 of program A and program C, t2 represents the zero hour of the GOP#2 of program B, t3 represents the zero hour of the GOP#2 of program C, t4 represents the zero hour of the GOP#2 of program A, t5 represents the zero hour of the GOP#3 of program B, and t6 represents the zero hour of the GOP#3 of program C, and t7 represents the zero hour of the GOP#3 of program A.
In this example, at the t2 zero hour of the GOP#2 of program B, the target bit rate Target_Rate of the program B that target bit rate can change iBe 4Mbps.And at moment t2, the capacity Available_Rate of the bit rate that the program B that can change target bit rate can distribute is 2Mbps.Therefore, according to formula (11), the new target bit rate Target_Rate of program B i' be set at 4 * (2/4), i.e. 2Mbps.
The invention is not restricted to the foregoing description.For example, the example that the coding difficulty of each program and the corresponding relation of target bit rate are not limited to enumerate among the embodiment can suitably be set.The method of revising interim bit rate and obtaining the final objective bit rate also can suitably be set.
As mentioned above, according to the present invention, use is to the coding difficulty of each program data setting and the corresponding relation between the target bit rate, determine the tentative target bit rate of each program data corresponding with the coding difficulty of each program of obtaining, revise tentative target bit rate and determine the target bit rate of each final program data, make the summation of target bit rate of each program data be limited in the feasible value of regulation, therefore, can use the method for statistic multiplexing, be no more than the feasible value of regulation, realize the pattern of suitable people's subjective feeling, simultaneously, can distribute maximum to each program data with for example target bit rate, the setting correspondence of minimum value and mean value, the target bit rate that is fit to each program data.
According to the present invention, can distribute the corresponding target bit rate of setting with the mean value of the target bit rate of being scheduled to each program data, thereby, can carry out correct charge according to budget.
According to the present invention, at addressable part can be under the situation of unit change target bit rate with the multi-page pictures, determine the tentative target bit rate of each image as unit, the addressable part that can change only to target bit rate, revise tentative target bit rate and determine the final objective code check, make the summation of target bit rate of each program data be limited in the feasible value of regulation, so, under the situation that can only be unit change target bit rate with the multi-page pictures, also can be no more than the feasible value of regulation, realize the pattern of suitable people's subjective feeling, simultaneously, can each program data be distributed and average bit rate, minimum code rate, the target bit rate of the setting correspondence of maximal rate.
Certainly, according to above explanation, can implement various form of the present invention and variation.Therefore, in the scope of the equivalence of claims, can implement the present invention with the form beyond the form of above-mentioned detailed description.

Claims (53)

1, a kind of image encoding control device, be used for comprising the system of a plurality of addressable parts and reusable component of software, each addressable part is set the target bit rate that the sign indicating number amount takes place as the target of unit interval, and control each addressable part, these a plurality of addressable parts are encoded to a plurality of program datas that comprise view data respectively, this reusable component of software carries out multiplexing to the dateout of each addressable part, it is characterized in that, this image encoding control device comprises:
Tentative target bit rate decision parts, each program data is obtained the coding difficulty of the difficulty of presentation code, use determines the tentative target bit rate of each program data corresponding with the coding difficulty of each program data of obtaining to the coding difficulty of each program data setting and the corresponding relation between the target bit rate;
Correcting part, correction is by the described tentative target bit rate decision tentative target bit rate that parts determined, determine the target bit rate of each final program data, make the summation of target bit rate of each program data be limited in the feasible value of regulation, and each addressable part is set this final objective code check.
2, image encoding control device as claimed in claim 1, it is characterized in that, corresponding relation between described tentative target bit rate decision employed coding difficulty of parts and the target bit rate is to set according to the mean value to the coding difficulty of maximum, minimum value and the mean value of the predetermined target bit rate of each program data and each program data.
3, image encoding control device as claimed in claim 1, it is characterized in that, corresponding relation between described tentative target bit rate decision employed coding difficulty of parts and the target bit rate is following setting, promptly, the coding difficulty is big more, then target bit rate is big more, and, in the scope of the coding difficulty regulation bigger than its mean value, compare with the situation of the proportional relation of target bit rate with the coding difficulty, the target bit rate corresponding with identical coding difficulty diminishes, and in the scope of the coding difficulty regulation littler than its mean value, compare with the situation of the proportional relation of target bit rate with the coding difficulty, the target bit rate corresponding with identical coding difficulty becomes big.
4, image encoding control device as claimed in claim 1, it is characterized in that, corresponding relation between described tentative target bit rate decision employed coding difficulty of parts and the target bit rate is following setting, that is, the coding difficulty is big more, and then target bit rate is big more, and, in the scope of the coding difficulty regulation bigger than its mean value, along with the coding difficulty becomes big, the trend of the variation of the target bit rate corresponding with the variation of coding difficulty diminishes.
5, image encoding control device as claimed in claim 1, it is characterized in that, described tentative target bit rate decision parts are according to the coding difficulty that has obtained, at any time upgrade the corresponding relation between coding difficulty and the target bit rate, make mean value approach the mean value of predetermined target bit rate by this tentative target bit rate decision tentative target bit rate that parts determined.
6, image encoding control device as claimed in claim 1, it is characterized in that, described target bit rate correcting part is in the process of the target bit rate of final each program data of decision, with the summation of the tentative target bit rate of each program data and the tentative target bit rate that the ratio between the described feasible value multiply by each program data.
7, image encoding control device as claimed in claim 6, it is characterized in that, target bit rate is fixed tentatively in the correction of described target bit rate correcting part, and decision final objective code check, feasible value for the tentative target bit rate gained that described ratio be multiply by each program data surpasses the maximum of the predetermined target bit rate of each program data or the program data of minimum value, described maximum or minimum value decision are the final objective code check, and, make the summation of target bit rate of remaining program data be limited in the value that from described feasible value, deducts the target bit rate gained that has determined for all the other program datas.
8, image encoding control device as claimed in claim 1 is characterized in that, each addressable part is respectively can be the parts of unit change target bit rate with the multi-page pictures;
Described tentative target bit rate decision parts are the tentative target bit rate of unit decision with each image;
The addressable part that described target bit rate correcting part only can change target bit rate, correction is by the described tentative target bit rate decision tentative target bit rate that parts determined, and decision final objective code check, make the summation of target bit rate of each program data be limited in the feasible value of regulation, and addressable part is set this final objective code check.
9, image encoding control device as claimed in claim 8, it is characterized in that, the tentative target bit rate of the addressable part that described target bit rate correcting part revise goal code check can change, and decision final objective code check, make under the situation of the code check that the summation of the tentative target bit rate of the addressable part that target bit rate can change can be distributed less than the addressable part that can change target bit rate, the addressable part that can change target bit rate, directly will fix tentatively the target bit rate decision and be the final objective code check, and surpass in the summation of the tentative target bit rate of the addressable part that target bit rate can change under the situation of the code check that the addressable part that can change target bit rate can distribute, in the code check that the addressable part that the summation of the final objective code check of the addressable part that target bit rate can change is limited in can changing target bit rate can distribute.
10, a kind of image encoding control method, be used for comprising the system of a plurality of addressable parts and reusable component of software, each addressable part is set the target bit rate that the sign indicating number amount takes place as the target of unit interval, and control each addressable part, these a plurality of addressable parts are encoded to a plurality of program datas that comprise view data respectively, this reusable component of software carries out multiplexing to the dateout of each addressable part, it is characterized in that, this image encoding control method comprises:
Tentative target bit rate deciding step, each program data is obtained the coding difficulty of the difficulty of presentation code, use determines the tentative target bit rate of each program data corresponding with the coding difficulty of each program data of obtaining to the coding difficulty of each program data setting and the corresponding relation between the target bit rate;
Revise step, the tentative target bit rate that correction is determined by described tentative target bit rate deciding step, determine the target bit rate of each final program data, make the summation of target bit rate of each program data be limited in the feasible value of regulation, and each addressable part is set this final objective code check.
11, image encoding control method as claimed in claim 10, it is characterized in that, corresponding relation between employed coding difficulty of described tentative target bit rate deciding step and the target bit rate is to set according to the mean value to the coding difficulty of maximum, minimum value and the mean value of the predetermined target bit rate of each program data and each program data.
12, image encoding control method as claimed in claim 10, it is characterized in that, corresponding relation between employed coding difficulty of described tentative target bit rate deciding step and the target bit rate is following setting, promptly, the coding difficulty is big more, then target bit rate is big more, and, in the scope of the coding difficulty regulation bigger than its mean value, compare with the situation of the proportional relation of target bit rate with the coding difficulty, the target bit rate corresponding with identical coding difficulty diminishes, and in the scope of the coding difficulty regulation littler than its mean value, compare with the situation of the proportional relation of target bit rate with the coding difficulty, the target bit rate corresponding with identical coding difficulty becomes big.
13, image encoding control method as claimed in claim 10, it is characterized in that, corresponding relation between employed coding difficulty of described tentative target bit rate deciding step and the target bit rate is following setting, that is, the coding difficulty is big more, and then target bit rate is big more, and, in the scope of the coding difficulty regulation bigger than its mean value, along with the coding difficulty becomes big, the trend of the variation of the target bit rate corresponding with the variation of coding difficulty diminishes.
14, image encoding control method as claimed in claim 10, it is characterized in that, described tentative target bit rate deciding step is according to the coding difficulty that has obtained, at any time upgrade the corresponding relation between coding difficulty and the target bit rate, make the mean value of the tentative target bit rate that determined by this tentative target bit rate deciding step approach the mean value of predetermined target bit rate.
15, image encoding control method as claimed in claim 10, it is characterized in that, described target bit rate correction step is in the process of the target bit rate of final each program data of decision, with the summation of the tentative target bit rate of each program data and the tentative target bit rate that the ratio between the described feasible value multiply by each program data.
16, image encoding control method as claimed in claim 15, it is characterized in that, target bit rate is fixed tentatively in the correction of described target bit rate correction step, and decision final objective code check, feasible value for the tentative target bit rate gained that described ratio be multiply by each program data surpasses the maximum of the predetermined target bit rate of each program data or the program data of minimum value, described maximum or minimum value decision are the final objective code check, and, make the summation of target bit rate of remaining program data be limited in the value that from described feasible value, deducts the target bit rate gained that has determined for all the other program datas.
17, image encoding control method as claimed in claim 10 is characterized in that, each addressable part is respectively can be the parts of unit change target bit rate with the multi-page pictures;
Described tentative target bit rate deciding step is the tentative target bit rate of unit decision with each image;
The addressable part that described target bit rate correction step only can change target bit rate, the tentative target bit rate that correction is determined by described tentative target bit rate deciding step, and decision final objective code check, make the summation of target bit rate of each program data be limited in the feasible value of regulation, and addressable part is set this final objective code check.
18, image encoding control method as claimed in claim 17, it is characterized in that, the tentative target bit rate of the addressable part that described target bit rate correction step revise goal code check can change, and decision final objective code check, make under the situation of the code check that the summation of the tentative target bit rate of the addressable part that target bit rate can change can be distributed less than the addressable part that can change target bit rate, the addressable part that can change target bit rate, directly will fix tentatively the target bit rate decision and be the final objective code check, and surpass in the summation of the tentative target bit rate of the addressable part that target bit rate can change under the situation of the code check that the addressable part that can change target bit rate can distribute, in the code check that the addressable part that the summation of the final objective code check of the addressable part that target bit rate can change is limited in can changing target bit rate can distribute.
19, a kind of coded system is encoded to a plurality of program datas that comprise view data respectively, coded data is carried out multiplexing, it is characterized in that this coded system comprises:
A plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in described each program data, presentation code;
A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in described each program data is encoded;
Reusable component of software carries out multiplexing to each addressable part data encoded;
Control assembly, according to each program data is independently set, calculate the used calculating formula of described target bit rate by described coding difficulty, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the target bit rate of each program data, and the target bit rate that calculates is supplied with described each addressable part.
20, coded system as claimed in claim 19 is characterized in that, described calculating formula is that the mean value according to the coding difficulty of each program data decides.
21, coded system as claimed in claim 20 is characterized in that, the mean value of described coding difficulty upgrades according to the result of coding.
22, coded system as claimed in claim 19 is characterized in that, described calculating formula has been stipulated the maximum and the minimum value of target bit rate to each program data.
23, a kind of coded system is encoded to a plurality of program datas that comprise view data respectively, coded data is carried out multiplexing, it is characterized in that this coded system comprises:
A plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in described each program data, presentation code;
A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in described each program data is encoded;
Reusable component of software carries out multiplexing to each addressable part data encoded;
Control assembly, calculate the used calculating formula of described target bit rate according to independently setting by described coding difficulty to the mean value decision of the predetermined target bit rate of each program data, to each program data, according to this calculating formula, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the target bit rate of each program data, and the target bit rate that calculates is supplied with described each addressable part.
24, coded system as claimed in claim 23 is characterized in that, described calculating formula is that the mean value according to the coding difficulty of each program data decides.
25, coded system as claimed in claim 24 is characterized in that, the mean value of described coding difficulty upgrades according to the result of coding.
26, coded system as claimed in claim 23 is characterized in that, described calculating formula has been stipulated the maximum and the minimum value of target bit rate to each program data.
27, a kind of coded system is encoded to a plurality of program datas that comprise view data respectively, coded data is carried out multiplexing, it is characterized in that this coded system comprises:
A plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in described each program data, presentation code;
A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in described each program data is encoded;
Reusable component of software carries out multiplexing to each addressable part data encoded;
Control assembly, to each program data, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the transient target code check of each program data, calculate the target bit rate of each program by described transient target code check, make the summation of transient target code check that each program data is calculated be limited in the permissible range of regulation, the target bit rate that calculates is supplied with described each addressable part.
28, coded system as claimed in claim 27, it is characterized in that, described control assembly according to each program data is independently set, calculate the used calculating formula of described transient target code check by described coding difficulty, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the described transient target code check of each program data.
29, coded system as claimed in claim 28 is characterized in that, described calculating formula is to decide according to the mean value to the predetermined target bit rate of each program data.
30, coded system as claimed in claim 28 is characterized in that, described calculating formula is that the mean value according to the coding difficulty of each program data decides.
31, coded system as claimed in claim 30 is characterized in that, the mean value of described coding difficulty upgrades according to the result of coding.
32, coded system as claimed in claim 28 is characterized in that, described calculating formula is to the maximum and the minimum value of each program data define objective code check.
33, a kind of coded system is encoded to a plurality of program datas that comprise view data respectively, coded data is carried out multiplexing, it is characterized in that this coded system comprises:
A plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in described each program data, presentation code;
A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in described each program data is encoded;
Reusable component of software carries out multiplexing to each addressable part data encoded;
Control assembly, to each program data, irrelevant with the coding difficulty of other program datas, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the transient target code check of each program data, calculate the target bit rate of each program by described transient target code check, make the summation of transient target code check that each program data is calculated be limited in the permissible range of regulation, the target bit rate that calculates is supplied with described each addressable part.
34, coded system as claimed in claim 33, it is characterized in that, described control assembly according to each program data is independently set, calculate the used calculating formula of described transient target code check by described coding difficulty, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the described transient target code check of each program data.
35, coded system as claimed in claim 34 is characterized in that, described calculating formula is to decide according to the mean value to the predetermined target bit rate of each program data.
36, coded system as claimed in claim 34 is characterized in that, described calculating formula is that the mean value according to the coding difficulty of each program data decides.
37, coded system as claimed in claim 36 is characterized in that, the mean value of described coding difficulty upgrades according to the result of coding.
38, coded system as claimed in claim 34 is characterized in that, described calculating formula has been stipulated the maximum and the minimum value of target bit rate to each program data.
39, a kind of coded system is encoded to a plurality of program datas that comprise view data respectively, coded data is carried out multiplexing, it is characterized in that this coded system comprises:
A plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in described each program data, presentation code;
A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in described each program data is encoded;
Reusable component of software carries out multiplexing to each addressable part data encoded;
Control assembly, each program data independently set by described coding difficulty calculate the used calculating formula of transient target code check, this calculating formula is not subjected to the influence of the coding difficulty of other program datas, according to this calculating formula, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the transient target code check of each program data, calculate the target bit rate of each program by described transient target code check, make the summation of transient target code check that each program data is calculated be limited in the permissible range of regulation, the target bit rate that calculates is supplied with described each addressable part.
40, coded system as claimed in claim 39 is characterized in that, described calculating formula is to decide according to the mean value to the predetermined target bit rate of each program data.
41, coded system as claimed in claim 39 is characterized in that, described calculating formula is that the mean value according to the coding difficulty of each program data decides.
42, coded system as claimed in claim 41 is characterized in that, the mean value of described coding difficulty upgrades according to the result of coding.
43, coded system as claimed in claim 39 is characterized in that, described calculating formula has been stipulated the maximum and the minimum value of target bit rate to each program data.
44, a kind of transmission system is encoded to a plurality of program datas that comprise view data respectively, coded data is carried out multiplexing, and as the transmission data export, it is characterized in that this transmission system comprises:
A plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in described each program data, presentation code;
A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in described each program data is encoded;
Reusable component of software, each addressable part data encoded is carried out multiplexing, and as the transmission data export:
Control assembly, according to each program data is independently set, calculate the used calculating formula of described target bit rate by described coding difficulty, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the target bit rate of each program data, and the target bit rate that calculates is supplied with described each addressable part.
45, a kind of transmission system is encoded to a plurality of program datas that comprise view data respectively, coded data is carried out multiplexing, and as the transmission data export, it is characterized in that this transmission system comprises:
A plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in described each program data, presentation code;
A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in described each program data is encoded;
Reusable component of software, each addressable part data encoded is carried out multiplexing, and as the transmission data export:
Control assembly, calculate the used calculating formula of described target bit rate according to independently setting by described coding difficulty to the mean value decision of the predetermined target bit rate of each program data, to each program data, according to this calculating formula, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the target bit rate of each program data, and the target bit rate that calculates is supplied with described each addressable part.
46, a kind of transmission system is encoded to a plurality of program datas that comprise view data respectively, coded data is carried out multiplexing, and as the transmission data export, it is characterized in that this transmission system comprises:
A plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in described each program data, presentation code;
A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in described each program data is encoded;
Reusable component of software, each addressable part data encoded is carried out multiplexing, and as the transmission data export;
Control assembly, to each program data, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the transient target code check of each program data, calculate the target bit rate of each program by described transient target code check, make the summation of transient target code check that each program data is calculated be limited in the permissible range of regulation, the target bit rate that calculates is supplied with described each addressable part.
47, a kind of transmission system is encoded to a plurality of program datas that comprise view data respectively, coded data is carried out multiplexing, and as the transmission data export, it is characterized in that this transmission system comprises:
A plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in described each program data, presentation code;
A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in described each program data is encoded;
Reusable component of software, each addressable part data encoded is carried out multiplexing, and as the transmission data export;
Control assembly, to each program data, irrelevant with the coding difficulty of other program datas, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the transient target code check of each program data, calculate the target bit rate of each program by described transient target code check, make the summation of transient target code check that each program data is calculated be limited in the permissible range of regulation, the target bit rate that calculates is supplied with described each addressable part.
48, a kind of transmission system is encoded to a plurality of program datas that comprise view data respectively, coded data is carried out multiplexing, and as the transmission data export, it is characterized in that this transmission system comprises:
A plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in described each program data, presentation code;
A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in described each program data is encoded;
Reusable component of software, each addressable part data encoded is carried out multiplexing, and as the transmission data export;
Control assembly, each program data independently set by described coding difficulty calculate the used calculating formula of transient target code check, this calculating formula is not subjected to the influence of the coding difficulty of other program datas, according to this calculating formula, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the transient target code check of each program data, calculate the target bit rate of each program by described transient target code check, make the summation of transient target code check that each program data is calculated be limited in the permissible range of regulation, the target bit rate that calculates is supplied with described each addressable part.
49, a kind of broadcast system is encoded to a plurality of program datas that comprise view data respectively, coded data is carried out multiplexing, and sends as broadcast data, it is characterized in that this broadcast system comprises:
A plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in described each program data, presentation code;
A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in described each program data is encoded;
Reusable component of software carries out multiplexingly to each addressable part data encoded, and export as broadcast data;
Control assembly, according to each program data is independently set, calculate the used calculating formula of described target bit rate by described coding difficulty, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the target bit rate of each program data, and the target bit rate that calculates is supplied with described each addressable part.
50, a kind of broadcast system is encoded to a plurality of program datas that comprise view data respectively, coded data is carried out multiplexing, and sends as broadcast data, it is characterized in that this broadcast system comprises:
A plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in described each program data, presentation code;
A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in described each program data is encoded;
Reusable component of software carries out multiplexingly to each addressable part data encoded, and export as broadcast data;
Control assembly, calculate the used calculating formula of described target bit rate according to independently setting by described coding difficulty to the mean value decision of the predetermined target bit rate of each program data, to each program data, according to this calculating formula, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the target bit rate of each program data, and the target bit rate that calculates is supplied with described each addressable part.
51, a kind of broadcast system is encoded to a plurality of program datas that comprise view data respectively, coded data is carried out multiplexing, and sends as broadcast data, it is characterized in that this broadcast system comprises:
A plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in described each program data, presentation code;
A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in described each program data is encoded;
Reusable component of software carries out multiplexingly to each addressable part data encoded, and export as broadcast data;
Control assembly, to each program data, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the transient target code check of each program data, calculate the target bit rate of each program by described transient target code check, make the summation of transient target code check that each program data is calculated be limited in the permissible range of regulation, the target bit rate that calculates is supplied with described each addressable part.
52, a kind of broadcast system is encoded to a plurality of program datas that comprise view data respectively, coded data is carried out multiplexing, and sends as broadcast data, it is characterized in that this broadcast system comprises:
A plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in described each program data, presentation code;
A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in described each program data is encoded;
Reusable component of software carries out multiplexingly to each addressable part data encoded, and export as broadcast data;
Control assembly, to each program data, irrelevant with the coding difficulty of other program datas, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the transient target code check of each program data, calculate the target bit rate of each program by described transient target code check, make the summation of transient target code check that each program data is calculated be limited in the permissible range of regulation, the target bit rate that calculates is supplied with described each addressable part.
53, a kind of broadcast system is encoded to a plurality of program datas that comprise view data respectively, coded data is carried out multiplexing, and sends as broadcast data, it is characterized in that this broadcast system comprises:
A plurality of coding difficulty detection parts, to each program data, the coding difficulty of difficulty when detection is encoded to the view data that comprises in described each program data, presentation code;
A plurality of addressable parts, according to supply with respectively, the target bit rate of sign indicating number amount takes place as the target of unit interval, the view data that comprises in described each program data is encoded;
Reusable component of software carries out multiplexingly to each addressable part data encoded, and export as broadcast data;
Control assembly, each program data independently set by described coding difficulty calculate the used calculating formula of transient target code check, this calculating formula is not subjected to the influence of the coding difficulty of other program datas, according to this calculating formula, the coding difficulty that is detected by the described difficulty detection part of respectively encoding is calculated the transient target code check of each program data, calculate the target bit rate of each program by described transient target code check, make the summation of transient target code check that each program data is calculated be limited in the permissible range of regulation, the target bit rate that calculates is supplied with described each addressable part.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102724491A (en) * 2012-06-15 2012-10-10 北京博雅华录视听技术研究院有限公司 Statistical multiplexing method based on parallel coding
CN104471955A (en) * 2012-07-05 2015-03-25 摩托罗拉行动有限公司 Methods and devices for bandwidth allocation in adaptive bitrate streaming
CN104967871A (en) * 2015-07-01 2015-10-07 上海国茂数字技术有限公司 Statistical multiplexing system and statistical multiplexing method for video coding code streams
CN105323578A (en) * 2014-06-27 2016-02-10 北京数码视讯科技股份有限公司 Statistical multiplexing method and device

Families Citing this family (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6859496B1 (en) 1998-05-29 2005-02-22 International Business Machines Corporation Adaptively encoding multiple streams of video data in parallel for multiplexing onto a constant bit rate channel
US20020083441A1 (en) 2000-08-31 2002-06-27 Flickinger Gregory C. Advertisement filtering and storage for targeted advertisement systems
US20020083445A1 (en) 2000-08-31 2002-06-27 Flickinger Gregory C. Delivering targeted advertisements to the set-top-box
US7185353B2 (en) 2000-08-31 2007-02-27 Prime Research Alliance E., Inc. System and method for delivering statistically scheduled advertisements
US8151295B1 (en) 2000-08-31 2012-04-03 Prime Research Alliance E., Inc. Queue based advertisement scheduling and sales
US7068724B1 (en) 1999-10-20 2006-06-27 Prime Research Alliance E., Inc. Method and apparatus for inserting digital media advertisements into statistical multiplexed streams
US7653923B2 (en) 2000-02-18 2010-01-26 Prime Research Alliance E, Inc. Scheduling and presenting IPG ads in conjunction with programming ads in a television environment
US7039932B2 (en) 2000-08-31 2006-05-02 Prime Research Alliance E., Inc. Queue-based head-end advertisement scheduling method and apparatus
US8180675B2 (en) 2000-08-31 2012-05-15 Prime Research Alliance E., Inc. System and method for automatically managing avail inventory data and avail pricing
DE60039861D1 (en) 1999-04-20 2008-09-25 Samsung Electronics Co Ltd ADVERTISING MANAGEMENT SYSTEM FOR DIGITAL VIDEO TONES
US20040148625A1 (en) 2000-04-20 2004-07-29 Eldering Charles A Advertisement management system for digital video streams
US7331057B2 (en) 2000-12-28 2008-02-12 Prime Research Alliance E, Inc. Grouping advertisement subavails
JP4539018B2 (en) * 2003-03-04 2010-09-08 ソニー株式会社 Transmission control apparatus and method, recording medium, and program
US7844992B2 (en) * 2003-09-10 2010-11-30 Thomson Licensing Video on demand server system and method
JP2005151096A (en) * 2003-11-14 2005-06-09 Pioneer Electronic Corp Multichannel statistical multiplex system
DE102007001379A1 (en) * 2007-01-09 2008-07-10 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Concept for encoding a plurality of information signals for a common transmission in a time division multiplex
KR20110060181A (en) * 2009-11-30 2011-06-08 한국전자통신연구원 Apparatus and method for lossless/near-lossless image compression
WO2013038582A1 (en) * 2011-09-12 2013-03-21 日本電気株式会社 Video encoding system, program bank device, and video encoding method
WO2015194395A1 (en) 2014-06-20 2015-12-23 ソニー株式会社 Transmission device, transmission method, reception device, and reception method
GB2570324A (en) * 2018-01-19 2019-07-24 V Nova Int Ltd Multi-codec processing and rate control
US20230108722A1 (en) * 2021-10-01 2023-04-06 Microsoft Technology Licensing, Llc Allocating bit rate between video streams using machine learning

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5317397A (en) 1991-05-31 1994-05-31 Kabushiki Kaisha Toshiba Predictive coding using spatial-temporal filtering and plural motion vectors
JPH0662393A (en) * 1992-08-04 1994-03-04 G C Technol Kk Multiplexed dynamic image encoding method and device
US5426463A (en) 1993-02-22 1995-06-20 Rca Thomson Licensing Corporation Apparatus for controlling quantizing in a video signal compressor
JP3535548B2 (en) * 1993-12-22 2004-06-07 日本放送協会 Multi-channel image signal coding and multiplexing device
JPH07264580A (en) * 1994-03-17 1995-10-13 Toshiba Corp Method for transmitting video signal and video signal transmitter and receiver
AU7393594A (en) * 1994-04-20 1995-11-16 Thomson Consumer Electronics, Inc Asynchronous control signal generating apparatus
US5506844A (en) * 1994-05-20 1996-04-09 Compression Labs, Inc. Method for configuring a statistical multiplexer to dynamically allocate communication channel bandwidth
US5623424A (en) 1995-05-08 1997-04-22 Kabushiki Kaisha Toshiba Rate-controlled digital video editing method and system which controls bit allocation of a video encoder by varying quantization levels

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102724491A (en) * 2012-06-15 2012-10-10 北京博雅华录视听技术研究院有限公司 Statistical multiplexing method based on parallel coding
CN104471955A (en) * 2012-07-05 2015-03-25 摩托罗拉行动有限公司 Methods and devices for bandwidth allocation in adaptive bitrate streaming
CN104471955B (en) * 2012-07-05 2017-08-11 谷歌科技控股有限责任公司 The method and server to multiple media apparatus are provided by video content
CN105323578A (en) * 2014-06-27 2016-02-10 北京数码视讯科技股份有限公司 Statistical multiplexing method and device
CN104967871A (en) * 2015-07-01 2015-10-07 上海国茂数字技术有限公司 Statistical multiplexing system and statistical multiplexing method for video coding code streams
CN104967871B (en) * 2015-07-01 2018-06-26 上海国茂数字技术有限公司 A kind of statistic multiplexing system and method for Video coding code stream

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